Digital Twin and Artificial Intelligence: Matrix Automation for Design, Monitoring, and Management of Spaces

In recent years, the increasingly urgent challenge of designing community spaces characterized by the broadest inclusiveness has led to great excitement in the search for innovative methods that establish a strong interconnection between physical and digital reality. Building information models, the internet of things and artificial intelligence are explored as technological solutions to establish a design, monitoring, and management framework for the built environment. The different data domains converge and interact with each other through the digital twin paradigm. This research is focused on the methodological implementation of a system able to detect and collect real-time data from IoT devices on the fields (physical layer), process and organize them (data processing and storage layers), and expose and visualize them through web services and BIM models (application layer). The applications refer to (i) the improvement of thermal-hygrometric and visual comfort, also reducing energy consumption, (ii) the implementation of a detection system for the activation of security procedures, and (iii) the search for assets of interest within an environment. The experimentation is conducted through a real case study which refers to the refunctionalization of a building of historical interest through the design of a smart library.